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End of training
Browse files- README.md +5 -15
- generation_config.json +1 -0
- model.safetensors +1 -1
- runs/Jun13_03-47-05_bb035650eed4/events.out.tfevents.1718250427.bb035650eed4.400.1 +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +0 -2
- training_args.bin +2 -2
README.md
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license: apache-2.0
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base_model: google/flan-t5-small
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tags:
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- generated_from_trainer
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metrics:
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- rouge
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model-index:
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- name: quora-qa-flan-t5-small
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results: []
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# quora-qa-flan-t5-small
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This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.1336
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- Rouge1: 0.1035
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- Rouge2: 0.0172
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- Rougel: 0.0818
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- Rougelsum: 0.0914
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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- train_batch_size: 8
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- eval_batch_size:
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
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| No log | 1.0 | 100 | 1.1444 | 0.0964 | 0.0188 | 0.0763 | 0.0842 |
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| No log | 2.0 | 200 | 1.1336 | 0.1035 | 0.0172 | 0.0818 | 0.0914 |
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### Framework versions
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license: apache-2.0
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base_model: google/flan-t5-small
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tags:
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- trl
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- sft
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- generated_from_trainer
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model-index:
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- name: quora-qa-flan-t5-small
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results: []
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# quora-qa-flan-t5-small
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This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on an unknown dataset.
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 3.0
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### Training results
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### Framework versions
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generation_config.json
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{
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"pad_token_id": 0,
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model.safetensors
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tokenizer.json
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tokenizer_config.json
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{
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training_args.bin
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